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GridARM: an automatic runtime management framework for SAMR applications in grid environments

Chandra, Sumir and Parashar, Manish and Haririr, Salim (2003) GridARM: an automatic runtime management framework for SAMR applications in grid environments. ASCI Technical Report, ASCI-TR207. . (Unpublished)

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Structured adaptive mesh refinement (SAMR) techniques offer the potential for accurate solutions of physically realistic models of complex physical phenomena, and are being effectively used in many domains including computational fluid dynamics, numerical relativity, astrophysics, subsurface modeling and oil reservoir simulation. However, the inherent space-time heterogeneity and dynamism of SAMR applications coupled with a similarly heterogeneous and dynamic execution environment such as the computational Grid present significant challenges in application composition, runtime management, optimization, and adaptation. This paper presents the design of GridARM – an autonomic runtime management framework that monitors application and system state and provides appropriate distribution, configuration, scheduling, and adaptation strategies to optimize performance and support the efficient and scalable execution of SAMR implementations in Grid environments.

Item Type:Report or Paper (Technical Report)
Additional Information:This research was supported in part by NSF via grants numbers ACI 9984357 (CAREERS), EIA-0103674 (NGS) and EIA-0120934 (ITR), and by DOE ASCI/ASAP (Caltech) via grant numbers PC295251 and 1052856.
Group:Accelerated Strategic Computing Initiative
Funding AgencyGrant Number
Department of Energy (DOE)PC295251
Department of Energy (DOE)1052856
Series Name:ASCI Technical Report
Issue or Number:ASCI-TR207
Record Number:CaltechAUTHORS:20230209-220859156
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:119109
Deposited By: George Porter
Deposited On:09 Feb 2023 22:18
Last Modified:09 Feb 2023 22:18

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